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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Sentinel-5P Methane Density at 2 km from 2021-12 to 2023-11 Monthly Aggregation Time-series Reconstructed

Authors: Ho, Yu-Feng; Consoli, Davide;

Sentinel-5P Methane Density at 2 km from 2021-12 to 2023-11 Monthly Aggregation Time-series Reconstructed

Abstract

General Description The monthly aggregated Methane Volume Mixing Ratio dataset is derived from Sentinel-5P to generate a time-series reconstructed monthly aggregated map. The dataset time spans from December 2021 to November 2023 and provides data that covers the entire globe. The mission is still underway and expected to update periodically. For more info about the s5p Methane product see: https://maps.s5p-pal.com/ch4/. The dataset can be used in many applications like emission tracing, livestock monitor, and greenhouse gas monitor. Monthly time-series: Methane monthly average value December 2021 – November 2023. Derived using the eumap and scikitmap package in Python . We derived three standard statistics: (1) 10th percentile (p10), median (p50), and 90th percentile (p90). Data Details Time period: December 2021 – November 2023 Type of data: Methane Volume Mixing Ratio (Unit: ppbv) How the data was collected or derived: Derived from 2km Sentinel-5P Menthane using Python running in a local HPC. The time-series analysis were computed using the Scikit-map and eumap Python package. Statistical methods used: percentiles 10, 50, and 90. Limitations or exclusions in the data: The dataset is not completed gap-filled. Certain areas have no data in the whole time series Coordinate reference system: EPSG:4326 Bounding box (Xmin, Ymin, Xmax, Ymax): (-180.00000, -61.9966697, 180.0000072, 87.37000) Spatial resolution: 1/60 d.d. = 0.016666667 (2km) Image size: 21,600 x 8,962 File format: Cloud Optimized Geotiff (COG) format. Support If you discover a bug, artifact or inconsistency, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ Name convention To ensure consistency and ease of use across and within the projects, we follow the standard Open-Earth-Monitor file-naming convention. The convention works with 10 fields that describes important properties of the data. In this way users can search files, prepare data analysis etc, without needing to open files. The fields are: generic variable name: ch4.vmr = methane density methane volume mixing ratio variable procedure combination: m.seacov = monthly aggregated and gap filled by seasonal convolution Position in the probability distribution / variable type: p10/p50/p90 = 10th/50th/90th percentile Spatial support: 2km Depth reference: a = above surface Time reference begin time: 20211201 = 2021-12-01 Time reference end time: 20231131 = 2023-11-31 Bounding box: go = global (without Antarctica) EPSG code: epsg.4326 = EPSG:4326 Version code: v20230628 = 2023-12-08 (creation date)

Keywords

s5p, ch4

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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